chaiml-kimid-v3-lr2e6g32

developer_uid: zonemercy
submission_id: chaiml-kimid-v3-lr2e6g32_v2
model_name: test
model_group: ChaiML/kimid-v3_lr2e6g32
status: torndown
timestamp: 2025-12-12T18:27:57+00:00
num_battles: 7812
num_wins: 4101
celo_rating: 1309.02
family_friendly_score: 0.5098
family_friendly_standard_error: 0.007069709470692555
submission_type: basic
model_repo: ChaiML/kimid-v3_lr2e6g32
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 72
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.42419354996203945, 'latency_mean': 2.357344598770142, 'latency_p50': 2.3633670806884766, 'latency_p90': 2.566281628608704}, {'batch_size': 2, 'throughput': 0.6249408801134758, 'latency_mean': 3.195507344007492, 'latency_p50': 3.2017902135849, 'latency_p90': 3.443795847892761}, {'batch_size': 3, 'throughput': 0.7577934133057894, 'latency_mean': 3.947689936161041, 'latency_p50': 3.964635968208313, 'latency_p90': 4.267172574996948}, {'batch_size': 4, 'throughput': 0.8519396549027568, 'latency_mean': 4.680646730661392, 'latency_p50': 4.666637659072876, 'latency_p90': 5.280309104919433}, {'batch_size': 5, 'throughput': 0.9091521404852376, 'latency_mean': 5.47471231341362, 'latency_p50': 5.485239863395691, 'latency_p90': 6.332827925682068}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v3_lr2e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.72
us_pacific_date: 2025-12-05
win_ratio: 0.5249615975422427
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', 'User:', 'You:'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 72}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '####\n{bot_name}:', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-kimid-v3-lr2e6g32-v2-mkmlizer
Waiting for job on chaiml-kimid-v3-lr2e6g32-v2-mkmlizer to finish
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: Downloaded to shared memory in 37.213s
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: Checking if ChaiML/kimid-v3_lr2e6g32 already exists in ChaiML
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpyidcqlt6, device:0
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: 
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chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmpyidcqlt6' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: quantized model in 292.649s
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: Processed model ChaiML/kimid-v3_lr2e6g32 in 329.863s
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v2/nvidia
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v2/nvidia/config.json
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v2/nvidia/special_tokens_map.json
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v2/nvidia/tokenizer_config.json
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v2/nvidia/tokenizer.json
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v2/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3-lr2e6g32-v2-mkmlizer completed after 417.73s with status: succeeded
Stopping job with name chaiml-kimid-v3-lr2e6g32-v2-mkmlizer
Pipeline stage MKMLizer completed in 418.21s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v3-lr2e6g32-v2
Waiting for inference service chaiml-kimid-v3-lr2e6g32-v2 to be ready
Inference service chaiml-kimid-v3-lr2e6g32-v2 ready after 181.24837446212769s
Pipeline stage MKMLDeployer completed in 181.78s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.704223155975342s
Received healthy response to inference request in 2.346893548965454s
Received healthy response to inference request in 2.9220094680786133s
Received healthy response to inference request in 2.48893404006958s
Received healthy response to inference request in 2.1970162391662598s
5 requests
0 failed requests
5th percentile: 2.2269917011260985
10th percentile: 2.2569671630859376
20th percentile: 2.3169180870056154
30th percentile: 2.375301647186279
40th percentile: 2.4321178436279296
50th percentile: 2.48893404006958
60th percentile: 2.5750496864318846
70th percentile: 2.6611653327941895
80th percentile: 2.747780418395996
90th percentile: 2.8348949432373045
95th percentile: 2.878452205657959
99th percentile: 2.9132980155944823
mean time: 2.53181529045105
Pipeline stage StressChecker completed in 14.35s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.64s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.63s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g32_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v3-lr2e6g32-v2-profiler
Waiting for inference service chaiml-kimid-v3-lr2e6g32-v2-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Generating Leaderboard row for %s
Generated Leaderboard row for %s
Pipeline stage OfflineFamilyFriendlyScorer completed in 2645.53s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g32_v2 status is now torndown due to DeploymentManager action